Case-Based Reasoning and Machine Comprehension -- On the improvement of the reasoning cycle in case-based reasoning -- Exploring incompleteness in Case-Based Reasoning: a strategy for overcoming challenge -- Leveraging both Successes and Failures in Case-Based Reasoning for Optimal Solutions -- Transfer Learning for Abnormal Behaviors Identification in Examination Room from Surveillance Videos: A Case Study in Vietnam -- A Novel Question-Context Interaction Method for Machine Reading Comprehension -- Granular Computing to Forecast Alzheimer's Disease Distinctive Individual Development -- Computer Vision -- AdVLO: Region selection via Attention-driven for Visual LiDAR Odometry -- Intelligent Retrieval System on Legal Information -- VSNet: Vehicle State Classification for Drone Image with Mosaic Augmentation and Soft-label Assignment -- Creating High-Resolution Adversarial Images against Convolutional Neural Networks with the Noise Blowing-Up Method -- Faster Imputation Using Singular Value Decomposition for Sparse Data -- Combination of deep learning and ambiguity rejection for improving image-based disease diagnosis -- Data Mining and Machine Learning -- Towards Developing an Automated Chatbot for Predicting Legal Case Outcomes: A Deep Learning Approach -- Fuzzy-Based Factor Evaluation System for Momentum Overweight Trading Strategy -- Enhancing Abnormal-Behavior-based Stock Trend Prediction Algorithm with Cost-sensitive Learning Using Genetic Algorithms -- Leveraging Natural Language Processing in Persuasive Marketing -- Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction -- Tree-based Unified Temporal Erasable-itemset Mining -- Design Recovery of Data Model Hidden in JSON File -- Accurate lightweight calibration methods for mobile low-cost particulate matter sensors -- Generating music for video games with real-time adaptation to gameplay pace -- Detecting Sensitive Data with GANs and Fully Convolutional Networks -- An Unsupervised Deep Learning Framework for Anomaly Detection -- Extracting top-k high utility patterns from multi-level transaction databases -- Lightweight and Efficient Privacy-Preserving Multimodal Representation Inference via Fully Homomorphic Encryption -- Neural Machine Translation with Diversity-enabled Translation Memory -- GIFT4Rec: An effective side Information Fusion Technique apply to Graph neural network for cold-start recommendation -- A Decision Support System for Improving Lung Cancer Prediction based on ANN -- Emotion detection from text in social networks -- Finite Libby-Novick Beta Mixture Model: An MML-Based Approach -- Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices -- A Novel Meta-Heuristic Search Based on Mutual Information for Filter-Based Feature Selection -- Discovering prevalent co-location patterns without collecting co-location instances -- Integrating Geospatial Tools for Air Pollution Prediction: A Synthetic City Generator Framework for Efficient Modeling and Visualization -- Design of an Automated CNN Composition Scheme with Lightweight Depth-Correlated Convolution for Space-Limited Applications.